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Titlebook: Computational Physics; Simulation of Classi Philipp O.J. Scherer Textbook 20132nd edition Springer Nature Switzerland AG 2013 Error Analysi

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樓主
發(fā)表于 2025-3-21 18:31:24 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computational Physics
副標(biāo)題Simulation of Classi
編輯Philipp O.J. Scherer
視頻videohttp://file.papertrans.cn/233/232893/232893.mp4
概述Features numerous computer examples; no programming skills necessary.Includes separate parts on numerical methods and simulations.Gives detailed explanations without mathematical proofs.Covers many ba
叢書名稱Graduate Texts in Physics
圖書封面Titlebook: Computational Physics; Simulation of Classi Philipp O.J. Scherer Textbook 20132nd edition Springer Nature Switzerland AG 2013 Error Analysi
描述.This textbook presents basic and advanced computational physics in a very didactic style. It contains very-well-presented and simple mathematical descriptions of many of the most important algorithms used in computational physics.?.The first part of the book discusses the basic numerical methods. The second part concentrates on simulation of classical and quantum systems. Several classes of integration methods are discussed including not only the standard Euler and Runge Kutta method but also multi-step methods and the class of Verlet methods, which is introduced by studying the motion in Liouville space. A general chapter on the numerical treatment of differential equations provides methods of finite differences, finite volumes, finite elements and boundary elements together with spectral methods and weighted residual based methods.?.The book gives simple but non trivial examples from a broad range of physical topics trying to give the reader insight into notonly the numerical treatment but also simulated problems. Different methods are compared with regard to their stability and efficiency. The exercises in the book are realised as computer experiments.?.
出版日期Textbook 20132nd edition
關(guān)鍵詞Error Analysis; Explains Computer Simulation; Fourier Transformation; Inhomogeneous Linear Equations; Mo
版次2
doihttps://doi.org/10.1007/978-3-319-00401-3
isbn_ebook978-3-319-00401-3Series ISSN 1868-4513 Series E-ISSN 1868-4521
issn_series 1868-4513
copyrightSpringer Nature Switzerland AG 2013
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 23:14:54 | 只看該作者
Interpolationicated function by a simpler one or to develop more sophisticated numerical methods for the calculation of numerical derivatives and integrals. In the following we concentrate on the most important interpolating functions which are polynomials, splines and rational functions. The interpolating polyn
板凳
發(fā)表于 2025-3-22 04:17:38 | 只看該作者
Numerical Differentiationis also very important for the discretization of differential equations. The simplest approximation uses a forward difference quotient and is not very accurate. A symmetric difference quotient improves the quality. Even higher precision is obtained with the extrapolation method. Approximations to hi
地板
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Systems of Inhomogeneous Linear Equationslinear problem or from discretization of differential equations. If the dimension of the system is not too large standard methods like Gaussian elimination or QR decomposition are sufficient. Systems with a tridiagonal matrix are important for cubic spline interpolation and numerical second derivati
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Roots and Extremal Pointsr inefficient root finding method. If a good starting point close to the root is available and the function is smooth enough, the Newton-Raphson method converges much faster. Special strategies are necessary to find roots of not so well behaved functions or higher order roots. The combination of bis
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Fourier Transformationtion of convolution integrals. An important numerical method is the discrete Fourier transformation which can be used for trigonometric interpolation and also as a numerical approximation to the continuous Fourier integral. It can be realized efficiently by Goertzel’s algorithm or the family of fast
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Eigenvalue Problemsarmonic motion of a molecule around its equilibrium structure. Most important are ordinary eigenvalue problems, which involve the solution of a homogeneous system of linear equations with a Hermitian (or symmetric, if real) matrix..Matrices of small dimension can be diagonalized directly by determin
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